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Bücher Englische Bücher The Projected Subgradient Algorithm in Convex Optimization
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The Projected Subgradient Algorithm in Convex Optimization
Alexander J. Zaslavski (Taschenbuch, Englisch)
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Beschreibung
This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts in applications of optimization to engineering and economics. The goal is to obtain a good approximate solution of the problem in the presence of computational errors. The discussion takes into consideration the fact that for every… algorithm its iteration consists of several steps and that computational errors for different steps are different, in general. The book is especially useful for the reader because it contains solutions to a number of difficult and interesting problems in the numerical optimization. The subgradient projection algorithm is one of the most important tools in optimization theory and its applications. An optimization problem is described by an objective function and a set of feasible points. For this algorithm each iteration consists of two steps. The first step requires a calculation of a subgradient of the objective function; the second requires a calculation of a projection on the feasible set. The computational errors in each of these two steps are different. This book shows that the algorithm discussed, generates a good approximate solution, if all the computational errors are bounded from above by a small positive constant. Moreover, if computational errors for the two steps of the algorithm are known, one discovers an approximate solution and how many iterations one needs for this. In addition to their mathematical interest, the generalizations considered in this book have a significant practical meaning. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
26.11.2020
Sprache
Englisch
EAN
9783030602994
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
SpringerBriefs in Optimization
Sonderedition
Nein
Autor
Alexander J. Zaslavski
Seitenanzahl
146
Auflage
1st edition 2021
Einbandart
Taschenbuch
Schlagwörter
subgradient algorithm, convex optimization, projected subgradient algorithm, nonsmooth convex optimization, optimization problems bounded sets, zero-sum games, quasi-convex optimization, influence computational errors
Thema-Inhalt
PBU - Optimierung
PBKS - Numerische Mathematik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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